Modelling with Volna-OP2—Towards Tsunami Threat Reduction for the Irish Coastline

Tsunamis are infrequent events that have the potential to be extremely destructive. The last major tsunami to effect the Irish coastline was the Lisbon 1755 event. That event acts as a candidate worst case scenario for hazard assessment and the impacts on the Irish Coastline are presented here. As t...

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Published in:Geosciences
Main Authors: Daniel Giles, Brian McConnell, Frédéric Dias
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2020
Subjects:
Online Access:https://doi.org/10.3390/geosciences10060226
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spelling ftmdpi:oai:mdpi.com:/2076-3263/10/6/226/ 2023-08-20T04:08:36+02:00 Modelling with Volna-OP2—Towards Tsunami Threat Reduction for the Irish Coastline Daniel Giles Brian McConnell Frédéric Dias agris 2020-06-10 application/pdf https://doi.org/10.3390/geosciences10060226 EN eng Multidisciplinary Digital Publishing Institute Natural Hazards https://dx.doi.org/10.3390/geosciences10060226 https://creativecommons.org/licenses/by/4.0/ Geosciences; Volume 10; Issue 6; Pages: 226 tsunami modelling faster than real time simulation finite volume GPGPU computing tsunami inundation Irish tsunami threat Text 2020 ftmdpi https://doi.org/10.3390/geosciences10060226 2023-07-31T23:37:06Z Tsunamis are infrequent events that have the potential to be extremely destructive. The last major tsunami to effect the Irish coastline was the Lisbon 1755 event. That event acts as a candidate worst case scenario for hazard assessment and the impacts on the Irish Coastline are presented here. As there is no general consensus on the 1755 earthquake source, multiple sources highlighted in the literature are investigated. These sources are used to generate the initial conditions and the resultant tsunami waves are simulated with the massively parallelised Volna-OP2 finite volume tsunami code. The hazard associated with the event is captured on three gradated levels. A reduced faster than real time tsunami ensemble is produced for the North-East Atlantic on a regional level in 93 s using two Nvidia V100 GPUs. By identifying the most vulnerable sections of the Irish coastline from this regional forecast, some locally refined simulations are further carried out in a faster than real time setting. As arrival times on the coastline can be on the O (mins), these faster than real time reduced ensembles are of great benefit for tsunami warning. Volna-OP2’s capabilities in this respect are clearly demonstrated here. Finally, high resolution inundation simulations, which build upon the ensemble results, are carried out. To date this study provides the best estimate of assessing the hazard associated with a Lisbon-type tsunami event for the Irish coastline. The results of the inundation mapping highlight that along the vulnerable sections of coastline, inundation is constrained to low-lying areas with maximum run-up heights of 3.4 m being found. Text North East Atlantic MDPI Open Access Publishing Volna ENVELOPE(155.615,155.615,63.788,63.788) Geosciences 10 6 226
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic tsunami modelling
faster than real time simulation
finite volume
GPGPU computing
tsunami inundation
Irish tsunami threat
spellingShingle tsunami modelling
faster than real time simulation
finite volume
GPGPU computing
tsunami inundation
Irish tsunami threat
Daniel Giles
Brian McConnell
Frédéric Dias
Modelling with Volna-OP2—Towards Tsunami Threat Reduction for the Irish Coastline
topic_facet tsunami modelling
faster than real time simulation
finite volume
GPGPU computing
tsunami inundation
Irish tsunami threat
description Tsunamis are infrequent events that have the potential to be extremely destructive. The last major tsunami to effect the Irish coastline was the Lisbon 1755 event. That event acts as a candidate worst case scenario for hazard assessment and the impacts on the Irish Coastline are presented here. As there is no general consensus on the 1755 earthquake source, multiple sources highlighted in the literature are investigated. These sources are used to generate the initial conditions and the resultant tsunami waves are simulated with the massively parallelised Volna-OP2 finite volume tsunami code. The hazard associated with the event is captured on three gradated levels. A reduced faster than real time tsunami ensemble is produced for the North-East Atlantic on a regional level in 93 s using two Nvidia V100 GPUs. By identifying the most vulnerable sections of the Irish coastline from this regional forecast, some locally refined simulations are further carried out in a faster than real time setting. As arrival times on the coastline can be on the O (mins), these faster than real time reduced ensembles are of great benefit for tsunami warning. Volna-OP2’s capabilities in this respect are clearly demonstrated here. Finally, high resolution inundation simulations, which build upon the ensemble results, are carried out. To date this study provides the best estimate of assessing the hazard associated with a Lisbon-type tsunami event for the Irish coastline. The results of the inundation mapping highlight that along the vulnerable sections of coastline, inundation is constrained to low-lying areas with maximum run-up heights of 3.4 m being found.
format Text
author Daniel Giles
Brian McConnell
Frédéric Dias
author_facet Daniel Giles
Brian McConnell
Frédéric Dias
author_sort Daniel Giles
title Modelling with Volna-OP2—Towards Tsunami Threat Reduction for the Irish Coastline
title_short Modelling with Volna-OP2—Towards Tsunami Threat Reduction for the Irish Coastline
title_full Modelling with Volna-OP2—Towards Tsunami Threat Reduction for the Irish Coastline
title_fullStr Modelling with Volna-OP2—Towards Tsunami Threat Reduction for the Irish Coastline
title_full_unstemmed Modelling with Volna-OP2—Towards Tsunami Threat Reduction for the Irish Coastline
title_sort modelling with volna-op2—towards tsunami threat reduction for the irish coastline
publisher Multidisciplinary Digital Publishing Institute
publishDate 2020
url https://doi.org/10.3390/geosciences10060226
op_coverage agris
long_lat ENVELOPE(155.615,155.615,63.788,63.788)
geographic Volna
geographic_facet Volna
genre North East Atlantic
genre_facet North East Atlantic
op_source Geosciences; Volume 10; Issue 6; Pages: 226
op_relation Natural Hazards
https://dx.doi.org/10.3390/geosciences10060226
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/geosciences10060226
container_title Geosciences
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